arXiv:2610.24759v1 Announce Type: cross Abstract: We study whether quadratic spherical geometry can be detected from a single observed graph. Latent positions are independent and uniform on $\mathbb S^{d-1}$; conditional on them, edges are independent with connection probability $K_{d,\beta}(t)=[1+\beta(dt^2-1)/(d-1)]/2$, where $0<|\beta|\le1$. We test this model against $G(n,1/2)$. Writing $N=(d-1)(d+2)/2$ for the degree-two harmonic multiplicity, we prove that the total variation distance tends to one when $N\ll n^{3/4}|\beta|^{3/2}$ and to zero when $N\gg n^{3/4}|\beta|^{3/2}$. At criticality, if $N\to\infty$ and $\Delta_n=\sqrt{\binom n3}\,|\beta|^3/N^2\to\Delta\in(0,\infty)$, the signed triangle captures all asymptotic testing information and the total variation distance tends to $2\Phi(\Delta/2)-1$, where $\Phi$ is the standard normal distribution function. Polynomial finite-sample error bounds hold under polynomial signal scaling. The proof controls the likelihood of the dependent quadratic feature law through spectral recursions, covariance truncation and interpolation from a symmetric prior.